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February 12, 2018, 06:37:29 AM |
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Assuming you're doing this for more than one machine, it definitely does matter. What everyone has been talking about is the raw profit per card - and what they've said is absolutely true, it's just a factor of how much return vs the price. But if you're doing a larger deployment, then it gets a bit more complicated.
The first thing is that you also have overhead for the card - for instance, let's say you're using a MiningSky case, that holds 8 GPU's and costs $1000, that means you have a PER CARD overhead of $125 to be added to a card for what I typically call 'platform' ROI. So let's say that a 1060 cost $250 and makes $2.5/day (to keep things simple) - you ROI's on the card in 100 days. Now add the overhead of the case and your ROI is 150 days... Now let's say you get a 1080 TI for $750 and it makes $7.5/day (once again, to keep things simple), you ROI in the same 100 days, but now the case ROI doesn't add 50 days, it only adds ~17 days. This is why many times people like to buy the bigger cards...
Now here's the benefit of smaller cards - generally speaking, if you're going to run into problems typically it's about cooling or power, and they're both connected. The 1080 TI can use 250w, while the 1060 is something like 100w - so your 8 card rig goes from 2000w of pure card consumption to 800w - which is a much easier number to deal with in terms of PSU cost as well as cooling. Of course, the physical amount of space you'll need will be substantially larger, as in the example here it takes 3x as many 1060's to make one 1080 TI - but generally speaking space isn't an issue.
In terms of shares - this is just a factor of difficulty, and really doesn't matter much, in that it's just something the pool uses to prove that you're actually doing work. If you were to run a local pool, you wouldn't even need to send partial shares, as you would implicitly trust all the devices. Plus shares are just probabilistic - focus on hash rate for performance, and look at stale or bad shares as indications of problems in your network/hardware.
Hope that helps, and maybe makes you think about it in a larger context...
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